Adversarial robustness of deep learning models : an error-correcting codes based approach
Thesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, February, 2020
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2021
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Online Access: | https://hdl.handle.net/1721.1/138527 |